Perm Journal of Petroleum and Mining Engineering (Jun 2018)

Method of calculation of volume and direction of general mine natural draft with confident probability

  • Galina B. Lyalkina,
  • Aleksandr V. Nikolaev,
  • Nikita S. Makarychev

DOI
https://doi.org/10.15593/2224-9923/2018.2.7
Journal volume & issue
Vol. 17, no. 2
pp. 181 – 188

Abstract

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In order to ensure safe working conditions of workers in underground mining, it is necessary to carry out ventilation of underground mining operations to reduce the concentration of harmful and dangerous gases in working areas. Volume air flow required for operation of a mine (shaft) is determined in accordance with a number of people being simultaneously in underground mining and based on intensity of the emission of toxic, combustible gases and dust, minimum air velocity and other factors relevant to a specific mining company. So, in order to maintain safe working conditions in the mine (shaft) fresh air must be supplied in required quantity determined by its needs. A main fan is used to provide the mine with air. Through the supplying trunks, air enters underground mining and is removed by the ventilation shaft (suction method of ventilation). Along with the main fan there is a general natural mine draft hn, which occurs as a result of the difference in mean values of barometric pressure and air temperature. The magnitude and direction of the general natural draft hn has an effect on the operation of the main fan. That increases if its direction of action coincides with the desired direction of air movement and decreases the performance of a main fan QF if the direction of its action is opposite to the direction of general mine draft. The paper presents the method of calculating the value of general natural draft hn taking into account the possible spread of its values due to the impact of the accidental circumstances, including those influencing the magnitude of the aerodynamic resistance of the mine. The necessity of forming stochastic culture skills among students of technical universities is noted in studying methods of processing experimental data and constructing models of complex technical objects on their basis.

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